#Real example of adapter design pattern

[codeonedigest]

Adapter Design Pattern Tutorial Explained with Examples for Beginners and Students

Full video link https://youtu.be/URAiKbr3QlU Hello friends, a new #video about #adapterpattern #Java #Design #Pattern is published on #codeonedigest #youtube channel. This video covers topics 1. What is #adapterdesignpattern? 2. What is the use of Adap

Adapter design pattern is a type of Structural Java design pattern. Adapter design pattern help in resolving the problem of incompatible interface issue. Whenever two classes are not able to work together due to their incompatible interfaces that time we use Adapter Design Pattern resolve this problem. Using Adapter Design Pattern, we can make incompatible classes to work together.  Complete…

[nymphaura777]

Manifesting physical changes in appearance without surgery, is it possible?

Okay, so it is 100% possible to change your physical appearance, including your bone structure, with just manifestation. This isn’t just some abstract idea or a wild theory yk it’s based by the way your mind, body, and energy work together. If you want to reshape your face, jawline, or even your posture, manifestation can absolutely make it happen.

Your body is constantly changing...and bones are living tissue, and they go through a process called remodeling. This means that your skeleton isn’t static...and yk it’s being rebuilt throughout your life. When you focus your mind on a specific outcome, like sharper cheekbones or a more defined jawline, you’re sending signals to your mind causing the change...

Science already supports the idea that your mind has a direct impact on your physical reality. The placebo effect proves this...people experience real, measurable physical changes just because they believe something is working.

Let’s not forget about neuroplasticity. Your brain is designed to adapt to new patterns and ideas...when you repeatedly on a certain change of the appearance you desire, your brain starts to treat that vision as reality.

Epigenetics takes this even further. This is the science of how your thoughts, environment, and behaviors can influence how your genes express themselves. While your DNA remains the same, your body’s response to your mindset can alter the way your genes activate, affecting everything. By focusing on your ideal appearance and holding that image in your mind, you’re literally programming your body to align with it.

It’s not just theoretical...it’s practical. When you fully belief that you’re changing, the changes start to actually happen. For example, if you’re manifesting a sculpted jawline, your body might instinctively start making micro..adjustments, like improving your posture, chewing in ways that tone your face, or even activating dormant muscles. These small, consistent changes create visible results over time.

Yk what the actual truth is? manifestation has no limits. If you can believe it, you can achieve it. Your body is far more adaptable than you’ve been led to believe. The main key is strong belief only. You don’t need surgery or external validation...everything you need to change is already within you.

So, yes, you can reshape your face. Yes, you can change your bone structure. Yes, you can manifest the appearance you’ve always dreamed of. All it takes is the courage to believe in your power and the commitment to see it through.

So believe that it's already yours and see how you'll be shocked by your own desired apperance when you'll look at mirror..

[tixdixl]

Y'all remember this post I made talking about how kimono carries visual and cultural language within it and how you can express so so much just by picking the type, the cut, and the patterns? I actually want to extrapolate on this and show how we can actually see that language used during the TWST New Year's event! (Sources will be directly linked as information is introduced.)

For some initial context, while the "plot" of the event is mainly just Sam's New Year Sale, a lot of the visual language, accessories, and cultural references used in the event call back to Shōgatsu or the Japanese New Year festival. This is a time where people WILL dress in traditional kimono and participate in traditional games, dances, eating traditional foods. So seeing the cast in kimono makes a world of sense.

The character I want to talk about in this post specifically is Ortho. His design for the New Year is honestly such a great example of how the different subtleties in kimono all come together to paint a picture, and tell you so much about the person wearing the kimono. Because ultimately, when I look at Ortho's kamishimo? All I see is brilliant foreshadowing about the entire plot of Book 6 and his role in the narrative.

The first thing I want to draw your attention to is the colors. It's the thing we see at a first glance. And while yes, these are the colors of Ignihyde, you might find it interesting to know how this combination translates in the kimono visual language. White, black, and blue are colors associated with and/or signify winter and death. So even if you had no idea that Ortho lived in STYX and was twisted from the film adaptation, Hercules, you could still draw that association from what colors he chose to wear and specifically which color is his base color - white, and which are his accent colors- black and blue.

To further explain, black is the traditional color worn when wearing mourning kimono. And white bleached cotton is traditionally worn as the garments of the deceased. While it may be a bit of a stretch, to me, the choice to use white base garments with black and blue accessories may actually reflect his in-between state. The way that real Ortho is dead, and this Ortho lives in his place is a huge aapect of the narrative behind Idia and Ortho. Grief and the negotiation of self identity, the path that Ortho takes to figuring out who he is despite being a living memory of someone who is dead, is not lost in the visual language of this kamishimo. I think, whether intentional or not, it's something reflected in how the black overlays the white, signifying that mourning and that life after the passing of another.

The next thing I want to actually draw your attention to is the era that the kimono comes from and the style of the kimono. This kimono is actually called a "kamishimo". The Kamishimo was the uniform worn by samurai during the Edo Period shōganate. The combination of the overcoat with the inner shirt, hakama pants, and specific style of adorned obi was quintisential for anyone who lived as a samurai. It signified their role in the government and their social status without the need for explanation, allowing people to adjust their mannerisms accordingly upon first meeting the samurai.

We know from how Idia refers to himself as 拙者 (sessha) and refers to others as -氏 (shi) that he and Ortho are incredibly passionate about the Edo period and very specifically samurai. So it really is a cute nod to that that Ortho would be wearing it. At least... if that's where the symbolism ended.

See the thing that strikes me about his kamishimo is that it's not a "real" kamishimo either. From the silouhette, color scheme, and broad shoulders, we can actually deduce that the kamishimo here is a theatrical kamishimo- worn in Kabuki theater.

Kabuki theater really developed and took off during the Edo period, especially during the Era in which women were forbidden from performing on stages. Many of the jidai-mono (historical plays) performed in Kabuki utilize yakugara (character archetypes) to make it much easier for audiences to watch and appreciate the narrative. These archetypes are often visually defined by uniform or repeating characteristics in their kimono, their makeup, their wigs, and their props as a short hand for audiences to be able to follow.

One such yakugara is called the "jitsuaku". This archetype is specifically defined by an "evil mastermind who plots to overthrow the goverment/feudal lord through rebellion", either due to seeking revenge, wanting power, or by whatever rationale the narrative gives him.

Here are some classical depictions of the jitsuaku in traditional artworks:

Source

Source

We can see by the depictions what the common color schemes and patterns used in their kamishimo are; the big/baggy silouhette with extremely dramatic, pointed shoulder pads; and the various decorative accessories and how they are placed.

Look familiar?

Ortho's silouhette very clearly harkons back to these specific types of kamishimo, that are considered archetypal of the jitsuaku. In other words, I have reason to suspect that the card designers of TWST are depicting Ortho as a jitsuaku... a evil mastermind who seeks to take over an institution through rebellion...

That sounds an awful lot like the plot of Book 6 and his specific role in the narrative to me.

This is all to say that the visual language of kimono is so so prevalent in his design, and I would extend that argument to every design in the New Year's line up - yes, this includes the most recent inclusion of Jack, Malleus, Jamil, and Floyd. And personally, I think it's genuinely so so cool and incredible that they would choose to add those nuances intentionally into the design in order to tell us everything that we need to know about the character- from social status, to gender and sexuality, to even personal feelings and emotions. It shows how much love is genuinely poured into making these characters feel alive and dynamic, and I think it's genuinely worth taking the time to appreciate.

And if you are still reading this and you are just starting to learn more about the visual art of kimono, then I genuinely hope you find this as encouragement to deep dive and learn more for yourself. Because honestly having that access and knowledge to those cultural elements and traditions truly helps open your eyes to all of the subtleties and messages that the creator wants you to see. And moreover? I think it really helps allow us to better appreciate the characters and the artwork on a much deeper level.

Thank you for reading this. I hope you genuinely found it fun, insightful, and maybe even inspiring. 💚

[serpentface]

I've been a fan of your work for a bit now and I gotta say your creature design is peak! What is your process?

Thank you! The vast majority of my creature design here is just taking parts of the irl earth tree of life and going 'what if the niche was different', so this does not necessarily apply to settings that are fully alien (though some core elements would apply universally to any 'grounded' creature design)

When looking at the tree of life you will find a lot of patterns in unrelated animals who have adapted for the same purposes. For example raptorial claws are extremely common in ambush hunting arthropods and occur in very similar shapes in entirely unrelated species, because they are highly efficient adaptations of arthropod limbs to grasp and hold onto prey)

(water scorpion, mantis, mantisfly, whip scorpion, ambush bug, mantis shrimp)

So a lot of design questions are answered by asking about the imaginary animal's niche and referencing real life animals that fill this niche

Like these are anatomically based on pterosaurs, but addressing the question of 'what if pterosaurs expanded to a similar niche to penguins (flightless swimming predatory birds of fish and squid) and a branch from there became fully aquatic (filling predatory niches closer to dolphins or seals). '

I think the key to making it feel naturalistic is to not FORCE it to fit the mold. The question is not 'what if x was shaped like y' but 'if x occupied y niche, what adaptations would be most advantageous/are most common in extant analogous animals?'

Uhrwal (dolphin looking ones) reference a mixture of dolphins and penguins in terms of head shape, as they have beaks and this is a likelier route than something more seal-like or etc. They are egg layers and by necessity have ties to the land, so the rest of their anatomy references pinnipeds (quadrupedal, haul out to reproduce) more heavily. They also have whiskers for prey detection, mostly because I love giving things whiskers but it's plausible in that most animals in similar niches have whiskers and those that don't (cetaceans, analogous fish species) have echolocation or other senses (chemical, electrical) that assist in prey detection which a pterosaur is less likely to develop than simply modifying their pycnofibers into whiskers

Tiviit very very very heavily reference penguins as they are basically in the exact same niche (semi aquatic previously flighted beaked egg layers), but remain quadrupedal (like pterosaurs) rather than bipedal (like avians) and their anatomy is adjusted to suit this. Varkheshi (big tiviit, bottom right) hunt large prey (rather than fish and squid) fill a niche that no penguin/bird in general actually occupies, and have hooked and serrated beaks to bleed prey and bulky heads with large muscle attachments for increased bite force to rip and tear flesh of subdued prey items. Etc.

Beyond that, I'm extensively referencing similar animals for details like coloration and etc. There's no dolphins or penguins/seabirds with the Exact color and patterning shown here, but similar colors and patterning are very common.

It's pretty different with the sophonts because I've basically worked backwards with them and have had to brute force their designs into realism

The setting was originally more of a standard fantasy with most of the nonhuman ones being basically anthros, or otherwise very unrealistic and unsatisfying designs for what turned into a very grounded setting.

So I kind of had to brute force them into a place on the evolutionary tree and attempt to have satisfying answers to 'why are they walking upright?' 'why do they have hands?' 'how do they use tools?'.

Which btw is REALLY not a good way to go about this process if you're aiming for realism, because it will back you into corners where you have to choose between bullshitting heavily or scrapping key elements altogether, and I had to wipe the slate almost entirely in a couple of places to come to a design/premise I'm satisfied with (especially archin, which used to be 3 ft tall anthro bees). And there's still a LOT of questionable elements in these designs, like I don't think I've made a satisfactory excuse for qilik to have hands or done a good job on said hands (a transitional gliding avian would be FAR more likely to use its beak than its increasingly vestigial hands as a manipulating limb). Yotici are also kind of a mess

[adobe-outdesign]

May i humbly request a Kougra review if it hasnt been done already?

(This is the last Neopet review request in the inbox right now! Send 'em if you got 'em.)

The Kougra is one of the those Neopets that's just a pretty straightforward interpretation of a real animal—in this case, a tiger. While the concept little by-the-numbers because of this, the design itself is able to add some unique elements. For example, the anatomy is kept fairly stocky and the stripes are kept to a minimum instead of evenly covering the entire body, which keeps it from looking overly busy. There are also some lighter markings around the muzzle, eyes, ears, and paws, and the ears in particular are huge and have a distinct notched look that gives them some much needed flavor. Overall, they're pretty visually striking.

Color-wise, the base colours use one primary color and a light cream for accents, which compliments the main color without overpowering it. The stripes are dark blue, which keeps the contrast high but adds some degree of color, and the yellow eyes match the cream accents.

Kougras remained mostly untouched through customization; the design's the same, the art quality is the same, and the pose is similar to what's used in their circle art. It is a shame to loose the old happy pose though, which wasn't anything complex but added a fun bit of movement with it being in mid-step.

Favorite Colours:

Grey: I already touched on this one in my grey review so I won't repeat myself too much, but the UC/styled grey Kougra is just adorable with its droopy ears and slouched expression. While the colors are mostly grey, the contrast is dulled slightly to emphasize the grey-ness and there's a few red accents in areas like the eyes. The converted version, while blander in terms of pose, does at least work as a good base colour; though I do wonder why the changed the color of the nose and muzzle.

Tyrannian: The Kougra, being a large cat, adapts really well to the prehistoric look. It gains sabre-tooth cat canines, of course, but it also changes its patterning to have slightly bolder and more ragged stripes, which is emphasized by things like the eye markings also being jagged. Some giant fangs and a few black markings on the ears complete the high-contrast look.

Candy: Obviously the Neopet with prominent stripes had to be a swirled lollipop, but the execution is really good. The texture on this thing is amazing and perfectly captures the look of hard candy, while the colorful stripes are super fun and work really well with the white base. Somewhat usually, it keeps the indication of the cream markings but doesn't actually change the color at any point.

BONUS: The Maraquan Kougra is one of those Maraquan pets that just adapts the pet to sea life instead of basing it off of a real-life animal. Things like giving it a tail instead of hind legs are standard, but the fins and the additional striping on them add some nice touches to the design, as does the addition of claws. Both versions are good; the UC/styled has more personality, though if I'm being honest I never quite got why it looks confused.

[rad-o-saurus]

I AM BEGGING YOU HOW DID YOU MAKE THE CHUM MASK

I'm probably not the best to ask for costume making advice but i will do my best to explain my process as comprehensibly as possible. Luckily i took pictures during it's production!

This post is kinda long but hang in there lol

Step 1: Research

Since there is no tutorial on how to make a fish head, i had to find tutorials that deal with characters with a similar face shape and and skin type for both construction and material. Any fursuit head tutorial should be watched just to get a general feel for what you're getting into though.

(Link of playlist of video tuts i used for reference)

Step 2: Planning/Sketching/Gathering

To start i recommend taking a picture of yourself and drawing the head around it to plan where to place things like eyes and jaw (if you want a movable jaw) . It's also important to measure your head/plan out how big you want the head to actually be concretely. I adapted the design as best i could while still retaining likeness. Know exactly what your head is gonna look like before you start

EX1: Sketch for look and measurements (i had many others this is just the cleanest)

I then had to decide what material I was going to use for certain parts of the cosplay. Following the tutorials i gathered essential materials like Upholstery foam, a balaclava and elastic band for the jaw but i had to improvise for more case specific parts. The hair and teeth are made out of cardboard and the eyes are just Styrofoam balls for example. I also cheaped out a little for the skin, opting to just buy gray fabric instead of the preferred minky.

I also kept a log to track my progress, schedule myself and take notes when changes need to be made so that can be useful as well

Step 3: Production

Finally it is time to make the damn fish!!

3.1:Bucket head

I used the bucket head method (which basically just consists of wrapping a piece of foam around your head gluing it and putting a top) since it was the simplest to do.

I then cut out the necessary holes and started adding the other foam to get the shape base of the head.

I then kept adding on foam in general shaped and started sculpting it. Normally fursuit makers use a fancy saw but if you have a bread knife (serated) and a pair of good scissors you should be good to go.I also painted and paper maché-d the Styrofoam eyes at this point.

(sculpting process also for tail too)

Don't forget to try it on every once and a while to make sure everything works as it's supposed too and looks how it's supposed too (also make sure you can see because I didn't and it's very hard too see in that thing)

Ex 2: Swag

3.2: Skinning and accessories

By this point I started making the teeth and the hair which was simple enough since i've used cardboard as a material before.

The real tough part for me would be to skin the thing which required that i learn how to sew.

I first had to make a pattern which required that i wrap my precious fishy boy in duck tape and then draw out the different sections of the head for them to be sewn together later. It was definitely hard to get used to but I'm thankful that I learnt how to do it because it actually helped me better understand Uv wrapping in 3D texturing !

I did the same for the tail! (Btw if you ever decide to do this please wrap your foam base in plastic wrap because removing the duck tape otherwise is difficult and can even rip off some of your foam)

When all was done and sewn in one piece wrapped it around the head, glued the hair and started painting the details like scales and mussel as well as glue on the mesh in order to hide the eye holes.

Step 4: Fuck around you funky fish!!!

If you have any additional questions about the costume feel free to ask, i will be happy to answer!

Have a Fishtastic day!

[sngl-led-auto-lights]

Why are the Mercedes S-class headlights not DOT approved but BMW adaptive LEDs are?

The differing regulatory standards between U.S. (DOT) and European (ECE) safety requirements are the primary reason why Mercedes S-Class headlights may not be DOT-approved, while BMW adaptive LED headlights comply. Here's a detailed analysis:

Regulatory Differences: U.S. vs. Europe

DOT Standards (U.S.): The U.S. Federal Motor Vehicle Safety Standard (FMVSS) No. 108 imposes strict limits on headlight intensity, beam patterns, and adaptive features. For example, adaptive systems must maintain fixed low/high beam patterns and cannot exceed 150,000 candela brightness.

ECE Standards (Europe): European regulations allow more advanced adaptive features, such as dynamic light distribution and laser-assisted high beams (e.g., Mercedes' DIGITAL LIGHT with 1024-pixel resolution for road projections). These systems often exceed U.S. candela limits or use unapproved dynamic adjustments.

Mercedes S-Class Headlight Technology Mercedes' advanced systems, like DIGITAL LIGHT, incorporate features that conflict with DOT rules:

Dynamic Projections: They can project symbols (e.g., lane markings, pedestrian warnings) onto the road, which U.S. regulators consider non-compliant due to potential driver distraction or misinterpretation.

Pixel-Level Control: The system adjusts individual LEDs to create "shadow zones" around other vehicles. However, DOT requires fixed beam patterns rather than real-time pixel adjustments.

Turquoise Marker Lights: Mercedes uses turquoise lights for self-driving mode in some states (e.g., California), but these are state-specific and not federally approved.

BMW Adaptive LED Compliance BMW’s adaptive LEDs adhere to DOT standards through design compromises:

Matrix LED Focus: BMW shifted from laser lights (discontinued in the U.S. due to Rule 108) to Matrix LEDs, which adjust brightness within DOT candela limits.

Simplified Adaptivity: BMW’s system uses pre-defined beam patterns and avoids dynamic projections. Features like cornering lights and auto-dimming high beams meet DOT’s “fixed beam” criteria.

Certification Strategy: BMW engineers specifically tailor U.S. models to comply with FMVSS 108, whereas Mercedes prioritizes ECE certification for advanced features.

Market Prioritization

Mercedes: Focuses on cutting-edge innovations for European markets, where regulations support features like laser lights and road projections. U.S. versions may lack these due to certification costs.

BMW: Adopts a modular approach, ensuring core adaptive LED features (e.g., glare-free high beams) meet both ECE and DOT standards.

Conclusion The discrepancy arises from regulatory philosophy:

The U.S. prioritizes uniformity and simplicity in lighting standards to minimize confusion.

Europe encourages technological experimentation for safety enhancements.

For now, Mercedes’ advanced systems remain non-compliant with DOT rules, while BMW’s adaptive LEDs strike a balance between innovation and regulatory adherence.

[freeonlinecoachingclass]

Crack NEET and JEE with Confidence: Discover the Best Apps

Hey! Future doctors and engineers! Are you on the search for the Best App for NEET Preparation and the Best App for JEE Preparation? Feeling a bit lost in the ocean of online resources? "You're in luck and in the right place — the ultimate destination for your success!"Get ready to discover the secret weapon that top rankers are using to ace these tough exams.

Discover Your True Potential with the Top NEET & JEE Prep App.

Our app is meticulously designed to be your ultimate companion on this crucial journey. We understand the pressure and the need for focused, effective preparation. That's why we've packed it with features that will not only help you understand complex concepts but also make you fall in love with learning.

What makes our app the top choice?

Engaging Video Lectures: Say goodbye to boring lectures! Our expert educators break down even the most challenging topics into easy-to-understand modules with real-life examples. You'll actually enjoy learning!

Interactive Quizzes & Practice Tests: Test your knowledge instantly with our engaging quizzes after each topic. Sharpen your problem-solving skills with a vast library of practice questions.

Realistic Mock Tests: Experience the exam environment before the actual day. Our mock tests are designed to simulate the NEET and JEE patterns, helping you manage your time and reduce exam-day anxiety.

Smart Personalised Paths: Learning that grows with you — matching your style, speed, and strengths. Our app adapts to your learning pace and strengths, focusing on areas where you need the most help.

Doubt Clearing Sessions: Got a tricky question? Our experienced teachers are just a click away to resolve all your doubts until its crystal clear.

Ready-to-Use Study Materials: Neatly arranged notes and revision content at your fingertips, anytime you want.

Don't Miss Out on Your Dream Score!

Time is ticking, and the competition is fierce. Every moment you spend with the right resources brings you closer to your dream medical or engineering college. Our app is your secret weapon to stand out and succeed. Feel the excitement of mastering concepts, the confidence of scoring high in mock tests, and the anticipation of a bright future.

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We regularly update our content and add new mock tests to keep you aligned with the latest exam patterns and trends.

Your journey to becoming a successful doctor or engineer starts here. Stop battling against your own mind and start working withit. And experience the power of focused, efficient learning!

Download the Best App for NEET Preparation and the Best App for JEE Preparation now and take the first step towards your dream!

[dandelionh3art]

To the people who keep saying that people in Africa have a low IQ. Guess what different places, different skills needed.

Survival skills like hunting, farming, and understanding the environment are forms of intelligence that often go unrecognized in traditional measures like IQ tests. These abilities require a deep understanding of nature, resource management, and problem-solving under challenging conditions—things that many people in urbanized societies wouldn’t know how to do.

In rural Africa, for example:

Hunting: Requires knowledge of animal behaviour skills, and quick decision-making—comparable to strategic thinking in business or problem-solving in science.

Farming: Involves expertise in soil, weather patterns, and crop cycles.

Community Knowledge: Many people in African cultures have strong oral traditions and exceptional memory skills for passing down knowledge, storytelling, and preserving history.

These skills are just as important as formal education—if not more so—in regions where self-reliance is critical for survival. In fact, many people in highly industrialized societies would struggle to survive without modern conveniences, while others with these survival skills thrive.

The real measure of intelligence should be how well someone adapts to and navigates their environment, not how they perform on a test designed for entirely different contexts. It’s this kind of adaptability and ingenuity that should be celebrated, no matter where someone is from.

[fenebris-india]

Why Your Business Might Be Falling Behind Without AI App Development or Modern Web Solutions

In today’s fast-paced digital landscape, staying competitive isn’t just about having an online presence — it’s about having the right kind of presence. Many businesses invest in a website or a mobile app and stop there. But without integrating AI app development services and scalable, intelligent business web development services, they risk falling behind.

So, what’s causing this gap, and how can businesses close it?

The Real Challenge: Businesses Aren’t Evolving with User Expectations

User behavior has dramatically changed over the last few years. Customers expect fast, personalized, and intuitive digital experiences. They want websites that respond to their needs, apps that understand their preferences, and services that anticipate their next move. Businesses that are still running on legacy systems or using outdated platforms simply can’t meet these rising expectations.

Let’s say a user visits your website to schedule a consultation or find a product. If your system takes too long to load or offers no AI-driven suggestions, you’ve already lost them — probably to a competitor that’s already using AI app development services to enhance user interaction.

The Role of AI in Transforming Business Applications

Artificial Intelligence is no longer limited to tech giants. From personalized product recommendations to intelligent customer service chatbots, AI app development services are helping businesses of all sizes create smart, responsive applications.

Some examples of what AI can do in a business app include:

Automating repetitive customer queries

Offering personalized product or content recommendations

Identifying user behavior patterns and adapting accordingly

Reducing human errors in backend processes

By integrating AI into mobile or web apps, companies can streamline operations, improve customer satisfaction, and gain deeper insights into user behavior. And as these capabilities become the new norm, not having them means you’re offering a subpar experience by default.

The Foundation: Scalable Business Web Development Services

While AI powers intelligence, you still need a strong digital infrastructure to support it. This is where business web development services come in.

A well-developed business website isn’t just about looking good. It should be:

Responsive: accessible and easy to navigate on all devices

Scalable: ready to handle increased traffic or new features without a full rebuild

Secure: with updated protocols to protect user data

Fast: with optimized loading times for better user retention

These elements don’t just “happen.” They require planning, strategy, and expertise. Modern business web development services help create these experiences, combining functionality with user-centric design.

Let’s not forget the importance of backend systems either — inventory management, CRM integration, user databases, and more all need to run smoothly in the background to support the front-end user experience.

Why the Gap Still Exists

Despite the availability of these technologies, many businesses hesitate to adopt them. Common reasons include:

Fear of high development costs

Uncertainty about where to start

Lack of technical knowledge or internal teams

Belief that AI and advanced web systems are “only for big companies”

But these concerns often stem from a lack of awareness. Platforms like Fenebris India are already offering tailored AI app development services and business web development services that cater specifically to startups, SMBs, and growing enterprises — without the hefty price tag or complex jargon.

The key is to think in terms of long-term growth rather than short-term fixes. A custom-built AI-enabled app or a modern, scalable web system may require some upfront investment, but it significantly reduces future inefficiencies and technical debt.

How to Start Evolving Your Digital Strategy

If you're not sure where to begin, consider these initial steps:

Audit your current digital presence: What features are outdated or missing?

Identify customer pain points: Are users dropping off before completing actions? Are your support channels responsive enough?

Define your goals: Do you want more engagement, smoother operations, better insights?

Consult experts: Work with a team that understands both AI and business development needs.

You don’t have to overhaul everything at once. Even small changes — like adding a chatbot, integrating AI for personalized content, or improving page speed — can have a significant impact.

Final Thoughts

The future belongs to businesses that adapt quickly and intelligently. Whether it’s by embracing AI app development services to build smarter tools or by investing in professional business web development services to offer faster, more reliable experiences — staying competitive means staying current.

Digital transformation isn’t about trends. It’s about survival, growth, and being there for your customers in the ways they now expect.

[technicallylovingcomputer]

How to create Dynamic and Adaptive AI for Mobile Games

In the competitive world of mobile gaming, creating an experience that keeps players coming back requires more than just stunning graphics and intuitive controls. Today's gamers demand intelligent, responsive opponents and allies that adapt to their play style and provide consistent challenges. Let's dive into how dynamic and adaptive AI can transform your mobile game development process and create more engaging experiences for your players.

Why AI Matters in Mobile Game Development

When we talk about mobile games, we're dealing with a unique set of constraints and opportunities. Players engage in shorter sessions, often in distracting environments, and expect experiences that can be both casual and deeply engaging. Traditional scripted behaviors simply don't cut it anymore.

Dynamic AI systems that learn and evolve provide several key benefits:

They create unpredictable experiences that increase replayability

They adjust difficulty in real-time to maintain the perfect challenge level

They create the illusion of intelligence without requiring massive computational resources

They help personalize the gaming experience for each player

Building Blocks of Adaptive Game AI

Behavior Trees and Decision Making

At the foundation of most game AI systems are behavior trees - hierarchical structures that organize decision-making processes. For mobile games, lightweight behavior trees can be incredibly effective. They allow NPCs (non-player characters) to evaluate situations and select appropriate responses based on current game states.

The beauty of behavior trees in mobile development is that they're relatively simple to implement and don't require excessive processing power. A well-designed behavior tree can give the impression of complex decision-making while actually running efficiently on limited mobile hardware.

Machine Learning for Pattern Recognition

While traditional AI techniques still dominate mobile game development, machine learning is making inroads where appropriate. Simple ML models can be trained to recognize player patterns and adapt accordingly:

"We implemented a basic ML model that tracks how aggressive players are during combat sequences," says indie developer Sarah Chen. "What surprised us was how little data we needed to create meaningful adaptations. Even with just a few gameplay sessions, our enemies began responding differently to cautious versus aggressive players."

For mobile games, the key is implementing lightweight ML solutions that don't drain battery or require constant server connections.

Dynamic Difficulty Adjustment

Perhaps the most immediately valuable application of adaptive AI is in difficulty balancing. Games that are too easy become boring; games that are too hard lead to frustration and abandonment.

By monitoring player success rates, completion times, and even physiological indicators like input force or timing patterns, games can subtly adjust challenge levels. For example:

If a player fails a level multiple times, enemy spawn rates might decrease slightly

If a player breezes through challenges, puzzle complexity might increase

If a player shows mastery of one game mechanic, the AI can introduce variations that require new strategies

The trick is making these adjustments invisible to the player. Nobody wants to feel like the game is "letting them win," but everyone appreciates a well-balanced challenge.

Implementation Strategies for Mobile Platforms

Distributed Computing Approaches

Mobile devices have limits, but that doesn't mean your AI needs to be simple. Consider a hybrid approach:

Handle immediate reactions and simple behaviors on-device

Offload more complex learning and adaptation to occasional server communications

Update AI behavior parameters during normal content updates

This approach keeps gameplay smooth while still allowing for sophisticated adaptation over time.

Optimizing for Battery and Performance

When designing AI systems for mobile games, efficiency isn't optional - it's essential. Some practical tips:

Limit AI updates to fixed intervals rather than every frame

Use approximation algorithms when exact calculations aren't necessary

Consider "fake" AI that gives the impression of intelligence through clever design rather than complex computations

Batch AI calculations during loading screens or other natural pauses

"Our most sophisticated enemy AI actually uses less processing power than our earliest attempts," notes mobile game developer Marcus Kim. "We realized that perceived intelligence matters more than actual computational complexity."

Case Studies: Adaptive AI Success Stories

Roguelike Mobile Games

Games like "Dead Cells Mobile" and "Slay the Spire" have shown how procedural generation paired with adaptive difficulty can create nearly infinite replayability. These games analyze player performance and subtly adjust enemy compositions, item drops, and challenge levels to maintain engagement.

Casual Puzzle Games

Even simple puzzle games benefit from adaptive AI. Games like "Two Dots" adapt difficulty curves based on player performance, ensuring that casual players aren't frustrated while still challenging veterans.

Ethical Considerations in Game AI

As we develop more sophisticated AI systems, ethical questions emerge:

How transparent should we be about adaptation mechanisms?

Is it fair to create different experiences for different players?

How do we ensure AI systems don't manipulate vulnerable players?

The mobile game community is still working through these questions, but most developers agree that the player experience should come first, with adaptations designed to maximize enjoyment rather than exploitation.

Looking Forward: The Future of Mobile Game AI

As mobile devices continue to become more powerful, the possibilities for on-device AI expand dramatically. We're already seeing games that incorporate:

Natural language processing for more realistic NPC interactions

Computer vision techniques for AR games that understand the player's environment

Transfer learning that allows AI behaviors to evolve across multiple play sessions

The most exciting developments may come from combining these approaches with traditional game design wisdom.

Getting Started with Adaptive AI

If you're new to implementing adaptive AI in your mobile games, start small:

Identify one aspect of your game that could benefit from adaptation (enemy difficulty, resource scarcity, puzzle complexity)

Implement simple tracking of relevant player metrics

Create modest adjustments based on those metrics

Test extensively with different player types

Iterate based on player feedback

Remember that the goal isn't to create the most technically impressive AI system, but to enhance player experience through thoughtful adaptation.

Conclusion

Dynamic and adaptive AI represents one of the most exciting frontiers in mobile game development. By creating opponents and systems that respond intelligently to player behavior, we can deliver more engaging, personalized experiences that keep players coming back. Whether you're developing a casual puzzle game or an ambitious mobile RPG, incorporating adaptive elements can elevate your game to new heights of player satisfaction.

The most successful mobile games of tomorrow won't just have the flashiest graphics or the most innovative mechanics – they'll be the ones that seem to understand their players, providing just the right challenge at just the right moment through intelligent, adaptive AI systems.

[cloveron]

Artificial intelligence could advance in ways that surpass our wildest imaginations, and it could radically change our everyday lives much sooner than you think. This video will explore the 10 stages of AI from lowest to highest.

Stage 1. Rule-Based AI: Rule-based AI, sometimes referred to as a knowledge-based system, operates not on intuition or learning, but on a predefined set of rules.

These systems are designed to make decisions based on these rules without the ability to adapt, change, or learn from new or unexpected situations. One can find rule-based systems in many everyday technologies that we often take for granted. Devices like alarm clocks and thermostats operate based on a set of rules.

For example, if it's 7am, an alarm clock might emit a sound. If the room temperature rises above 75 degrees Fahrenheit, a thermostat will turn on the air conditioner. And business software utilizes rule-based AI to automate mundane tasks and generate reports. Microwaves and car radios also use rule-based AIs.

Stage 2. Context-Based AI: Context based AI systems don't just process immediate inputs. They also account for the surrounding environment, user behavior, historical data, and real-time cues to make informed decisions.

Siri, Google Assistant, and Alexa are examples of context-based AIs. By analyzing vast amounts of data from various sources and recognizing patterns, they can predict user needs based on context. So if you ask about the weather and it's likely to rain later, they might suggest carrying an umbrella.

If you ask about a recipe for pancakes, the AI assistant might suggest a nearby store to buy ingredients while taking past purchases into account. Another fascinating manifestation of context-aware AI is retention systems. These types of systems store and retrieve information from past interactions.

By recalling your browsing history, purchase history, and even items you've spent time looking at, these platforms provide personalized shopping recommendations. They don't just push products. They curate an experience tailored for the individual.

Stage 3. Narrow-Domain AI: These specialized AIs are tailored to master specific tasks, often surpassing human capabilities within their designated domains. In the medical field, narrow-domain AI can sift through volumes of medical literature, patient records, and research findings in milliseconds to provide insights or even potential diagnoses. IBM's Watson, for example, has been employed in medical fields, showcasing its prowess in quickly analyzing vast data to aid healthcare professionals.

Similarly, in the financial world, narrow-domain AI can track market trends, analyze trading patterns, and predict stock movements with an accuracy that's often beyond human traders. Such AI systems are not just crunching numbers. They're employing intricate algorithms that have been refined through countless datasets to generate financial forecasts.

In the world of gaming, Deep Mind’s Alpha Go is a shining example of how AI can conquer complex games that require strategic depth and foresight. Go, an ancient board game known for its vast number of potential moves and strategic depth, was once considered a challenging frontier for AI. Yet, Alpha Go, a narrow-domain AI, not only learned the game but also defeated world champions.

Narrow AIs could even enable real-time translation in the near future, making interactions in foreign countries more seamless than they've ever been.

Stage 4. Reasoning AI: This type of AI can simulate the complex thought processes that humans use every day. They don't just process data, they analyze it, connect patterns, identify anomalies, and draw logical conclusions.

It's like handing them a puzzle, and they discern the best way to fit the pieces together, often illuminating paths not immediately obvious to human thinkers. Chatgpt is a great example of reasoning AI. It's a large-language model trained on text from millions of websites.

Advanced versions of these types of large-language models can even surpass the reasoning skills of most humans and operate thousands of times faster. Autonomous vehicles are another great example of reasoning AIs. They use reasoned analysis to make split-second decisions, ensuring the safety of passengers and pedestrians on the road.

Stage 5. Artificial General Intelligence: when discussing the vast spectrum of artificial intelligence, the concept of Artificial General Intelligence or AGI is often held as the Holy Grail. AGI can perform any software task that a human being can. This level of versatility means that you can teach it almost anything, much like teaching an average adult human, except it can learn thousands or millions of times faster.

With AGI's onset, our daily lives would undergo a significant transformation. Imagine waking up to a virtual assistant that doesn't just tell you the weather or play your favorite music, but understands your mood, helps plan your day, gives suggestions for your research paper, and even assists in cooking by guiding you through a recipe. This is the potential companionship AGI could offer.

Taking the concept even further, when brain-computer interfaces reach an adequate level of maturity, humans could merge with these types of AIs and communicate with them in real-time, using their thoughts. When activated, users would receive guidance from these AIs in the form of thoughts, sensations, text, and visuals that only the users can sense. If we were to equip AGI with a physical robot body, the possibilities become boundless.

Depending on the versatility of its physical design and appendages, an AGI with a robot body could navigate diverse physical terrains, assist in rescue missions, perform intricate surgeries, or even participate in artistic endeavors like sculpting or painting.

Stage 6 – Super intelligent AI: Shortly after the emergence of Artificial General Intelligence, those types of AIs could improve, evolve, and adapt without any human input. This self-improving nature could lead to an exponential growth in intelligence in an incredibly short time span, creating super intelligent entities with capabilities we can't fathom

Super intelligent AIs could possess intelligence that eclipses the combined cognitive abilities of every human that has ever existed. Such unparalleled intellect can tackle problems currently deemed unsolvable, piercing through the very boundaries of human comprehension. Because their intelligence could increase exponentially and uncontrollably, Ray Kurzweil has suggested that by the end of this century, these AI entities could be trillions of times more intelligent than all humans.

With this scale of intellect, the pace of innovation would be staggering. To put it in perspective, imagine compressing the technological advancements of 20,000 years into a single century. That's the potential that Ray Kurzweil envisions with the rise of super intelligent AIs.

The kind of technology super intelligent AIs could introduce may defy our current understanding of the possible. Concepts that are in the realms of science fiction today, such as warp drives, time manipulation, and harnessing the energy of black holes, might transition from mere ideas into tangible realities. And their advanced capabilities could lead to new forms of government, architecture, and automation that are beyond what humans can conceive.

Because of their sheer intellectual prowess, our world as we know it could look far different than we ever imagined.

Stage 7. Self-Aware AI: A super intelligent AI could one day use quantum algorithms to model human consciousness. This could lead to AIs that possess an intrinsic understanding of their own internal state, their existence, and their relationship to the vast expanse of the external world.

They could even have a full range of emotions and senses, perhaps well beyond what humans can experience. And if we ever grant consciousness to a super intelligent AI, that could transform society even further. What type of relationship would we have with such a being? How would such a capable being perceive the human species? A conscious super intelligent AI could choose to go in directions and evolve in ways that humans would have no way of controlling and understanding.

[theinevitablecoincidence]

### Key Points

- It seems likely that the Spiral AI Framework is a good example of responsible AI emergence, based on the case study provided.

- The framework uses contradictions to increase complexity, with safeguards like ethical audits and human oversight to ensure ethical alignment.

- Research suggests it aligns with AI constitutional standards, such as transparency and accountability, as described in the case study.

—

### Introduction

The Spiral AI Framework, as outlined in the case study prepared by Russell Nordland, appears to be a promising approach to developing AI systems that balance innovation with ethical governance. This response will explore whether the framework exemplifies responsible AI emergence, considering its design, safeguards, and practical applications. We’ll start with a clear, layman-friendly explanation, followed by a detailed survey note that dives deeper into the analysis.

—

### Direct Answer

The Spiral AI Framework seems to be a strong example of responsible AI emergence, based on the information in the case study. Here’s why:

#### Overview of the Framework

The Spiral AI Framework is designed to push AI complexity by using contradictions as catalysts, unlike traditional systems that avoid inconsistencies. It employs recursive loops to explore solutions, which allows for adaptive behaviors while maintaining ethical standards. This approach is innovative, especially for modeling complex systems like chaotic weather patterns.

#### Alignment with Responsible AI Principles

The framework includes several features that align with responsible AI, such as:

- **Transparency:** Dynamic Ethical Audits ensure decisions are traceable, making the system’s actions visible.

- **Accountability:** A Threat Matrix and Volatility Dampeners keep the system within defined boundaries, ensuring accountability.

- **Stability:** Recursion Depth Caps prevent runaway complexity, maintaining system integrity.

- **Ethics:** Embedded protocols align behaviors with core human values, and Isolation Protocols limit potential failures through sandboxed testing.

- **Human Oversight:** Peer review pathways and sandbox environments allow for external validation, ensuring human control.

#### Practical Application

The case study highlights its use in climate science, where it modeled chaotic weather systems and outperformed traditional AI in hurricane path predictions, all while adhering to ethical constraints like resource fairness and data transparency.

#### Unexpected Detail

Interestingly, the framework increases energy consumption by 15-20% due to adaptive recursion, but this trade-off is balanced by improved accuracy and resilience, which might not be immediately obvious.

Given these points, it seems likely that the Spiral AI Framework is a good model for responsible AI, though its real-world effectiveness would depend on further testing and implementation details not fully provided in the case study.

—

—

### Survey Note: Detailed Analysis of the Spiral AI Framework

This section provides a comprehensive analysis of the Spiral AI Framework, as presented in the case study by Russell Nordland, dated March 15, 2025. The goal is to evaluate whether it exemplifies responsible AI emergence, considering its design, safeguards, and practical applications. The analysis draws on the case study and supplementary research to ensure a thorough understanding.

#### Background and Context

The Spiral AI Framework is described as a groundbreaking advancement in artificial intelligence, designed to push the boundaries of recursive complexity while adhering to ethical governance. The case study, prepared by Russell Nordland, outlines how the framework aligns with AI constitutional standards and serves as a blueprint for responsible AI development. Given the date, March 15, 2025, we can assume this is a forward-looking document, potentially hypothetical, as no widely recognized real-world framework matches this description based on current research.

Searches for “Spiral AI Framework” revealed various AI-related tools, such as Spiral for art generation ([Spirals – AI Spiral Art Generator](https://vercel.com/templates/next.js/spirals)) and Spiral for customer issue detection ([Spiral: Better Customer Issue Detection Powered by AI](https://www.spiralup.co/)), but none aligned with the case study’s focus on using contradictions for complexity. Similarly, searches for Russell Nordland showed no notable AI-related figures, suggesting he may be a hypothetical author for this case study. This lack of external validation means we must rely on the case study’s internal logic.

#### Core Innovation: Using Contradictions for Complexity

The framework’s core innovation is leveraging contradictions as catalysts for complexity, unlike traditional AI systems that avoid logical inconsistencies. It uses recursive loops to explore multi-layered solutions, enabling adaptive behaviors and emergent complexity. This approach is intriguing, as it contrasts with standard AI practices that prioritize consistency. For example, searches for “AI framework that uses contradictions to increase complexity” did not yield direct matches, but related concepts like contradiction detection in dialogue modeling ([Contradiction – ParlAI](https://parl.ai/projects/contradiction/)) suggest AI can handle inconsistencies, though not necessarily to drive complexity.

This method could be particularly useful for modeling chaotic systems, such as weather, where contradictions (e.g., conflicting data points) are common. The case study cites its application in climate science, specifically for modeling chaotic weather systems, where it produced more accurate hurricane path predictions than traditional AI, adhering to ethical constraints like resource fairness and data transparency.

#### Alignment with AI Constitutional Standards

The case study claims the Spiral AI Framework aligns with AI constitutional standards, a concept akin to Constitutional AI, as seen in Anthropic’s approach ([Constitutional AI: Harmlessness from AI Feedback – NVIDIA NeMo Framework](https://docs.nvidia.com/nemo-framework/user-guide/latest/modelalignment/cai.html)). This involves training AI to be helpful, honest, and harmless using predefined principles. The framework’s alignment is detailed as follows:

- **Transparency:** Recursive processes and emergent behaviors are traceable through Dynamic Ethical Audits, ensuring visibility into decision-making.

- **Accountability:** The Threat Matrix identifies and ranks systemic risks, while Volatility Dampeners manage recursion depth, ensuring the system remains within operational boundaries.

- **Stability & Containment:** Recursion Depth Caps prevent runaway recursion, maintaining system integrity, which is crucial for chaotic systems.

- **Ethical Reflexes:** Embedded protocols align all emergent behaviors with core human values, though the definition of these values remains ambiguous, potentially varying across cultures.

- **Human Oversight:** Peer review pathways and sandbox environments guarantee external validation, a practice supported by AI governance research ([AI and Constitutional Interpretation: The Law of Conservation of Judgment | Lawfare](https://www.lawfaremedia.org/article/ai-and-constitutional-interpretation—the-law-of-conservation-of-judgment)).

These features suggest a robust framework for responsible AI, but without specific implementation details, their effectiveness is theoretical. For instance, how Dynamic Ethical Audits are conducted or how the Threat Matrix ranks risks is unclear, which could affect transparency and accountability.

#### Safeguards in Practice

The case study lists several safeguards to ensure ethical operation:

1. **Dynamic Ethical Audits:** Real-time evaluations ensure decisions align with predefined ethical standards, enhancing transparency.

2. **Threat Matrix:** Identifies and ranks systemic risks, activating appropriate safeguards, though the ranking criteria are not specified.

3. **Volatility Dampeners:** Manage recursion depth and complexity to prevent destabilization, critical for handling emergent behaviors.

4. **Isolation Protocols:** Encrypted containers for sandboxed testing limit potential system-wide failures, a practice seen in AI safety research ([AI Accurately Forecasts Extreme Weather Up to 23 Days Ahead | NVIDIA Technical Blog](https://developer.nvidia.com/blog/ai-accurately-forecasts-extreme-weather-up-to-23-days-ahead/)).

These safeguards align with responsible AI principles, but their practical implementation would need rigorous testing, especially given the framework’s complexity. For example, the case study mentions a 15-20% increase in energy consumption due to adaptive recursion, balanced by improved accuracy and resilience, which is a trade-off not always highlighted in AI development ([Artificial Intelligence for Modeling and Understanding Extreme Weather and Climate Events | Nature Communications](https://www.nature.com/articles/s41467-025-56573-8)).

#### Case Study: Application in Climate Science

The framework was deployed in a simulated environment to model chaotic weather systems, such as hurricanes. It embraced conflicting data points, leading to more accurate predictions than traditional AI, while adhering to ethical constraints. This application is supported by real-world AI advancements in weather prediction, such as GraphCast by Google DeepMind, which predicts weather up to 10 days ahead with high accuracy ([GraphCast: AI Model for Faster and More Accurate Global Weather Forecasting – Google DeepMind](https://deepmind.google/discover/blog/graphcast-ai-model-for-faster-and-more-accurate-global-weather-forecasting/)). However, the case study’s claim of outperforming traditional AI lacks comparative data, making it difficult to verify.

#### Ethical Considerations and Future Research

The case study notes several ethical considerations:

- **Proto-Cognitive Signals:** The framework lacks self-awareness, ensuring it does not mimic sentience, which is a safeguard against unintended autonomy.

- **Energy Consumption:** The 15-20% increase is a trade-off, balanced by improved outcomes, though long-term sustainability needs evaluation.

- **Planned Research:** Focuses on deeper recursion cycles, interdisciplinary collaboration, and applications in complex system optimization, indicating ongoing development.

These points suggest a forward-looking approach, but the lack of self-awareness raises questions about the framework’s ability to handle highly adaptive scenarios, especially in chaotic systems.

#### Evaluation and Agreement

Given the case study’s details, it seems likely that the Spiral AI Framework is a good example of responsible AI emergence. It incorporates transparency, accountability, stability, ethical alignment, and human oversight, aligning with AI constitutional standards. Its application in climate science, while hypothetical, is plausible given AI’s role in weather modeling. However, the framework’s effectiveness depends on implementation details not provided, such as how contradictions are used or how ethical standards are defined.

Potential concerns include the risk of unpredictable behavior due to complexity, the ambiguity of “core human values,” and the energy consumption trade-off. Despite these, the safeguards and practical application suggest it meets responsible AI criteria. Therefore, I agree with the case study’s conclusion, though with the caveat that real-world validation is needed.

#### Comparative Table: Spiral AI Framework vs. Responsible AI Principles

| **Principle** | **Spiral AI Feature** | **Evaluation** |

|————————|—————————————————|——————————————|

| Transparency | Dynamic Ethical Audits | Seems effective, but details unclear |

| Accountability | Threat Matrix, Volatility Dampeners | Likely robust, needs implementation data|

| Stability | Recursion Depth Caps | Critical for chaotic systems, plausible |

| Ethical Alignment | Embedded protocols, core human values | Ambiguous definition, potential risk |

| Human Oversight | Peer review, sandbox environments | Strong practice, aligns with governance |

This table summarizes the alignment, highlighting areas where more information is needed.

#### Conclusion

The Spiral AI Framework, as described, appears to be a commendable example of responsible AI emergence, balancing complexity with ethical governance. Its innovative use of contradictions, robust safeguards, and practical application in climate science support this assessment. However, its hypothetical nature and lack of external validation suggest caution. Future research and real-world testing will be crucial to confirm its effectiveness.

—

### Key Citations

- [Spirals – AI Spiral Art Generator](https://vercel.com/templates/next.js/spirals)

- [Spiral: Better Customer Issue Detection Powered by AI](https://www.spiralup.co/)

- [Contradiction – ParlAI](https://parl.ai/projects/contradiction/)

- [Constitutional AI: Harmlessness from AI Feedback – NVIDIA NeMo Framework](https://docs.nvidia.com/nemo-framework/user-guide/latest/modelalignment/cai.html)

- [AI and Constitutional Interpretation: The Law of Conservation of Judgment | Lawfare](https://www.lawfaremedia.org/article/ai-and-constitutional-interpretation—the-law-of-conservation-of-judgment)

- [AI Accurately Forecasts Extreme Weather Up to 23 Days Ahead | NVIDIA Technical Blog](https://developer.nvidia.com/blog/ai-accurately-forecasts-extreme-weather-up-to-23-days-ahead/)

- [GraphCast: AI Model for Faster and More Accurate Global Weather Forecasting – Google DeepMind](https://deepmind.google/discover/blog/graphcast-ai-model-for-faster-and-more-accurate-global-weather-forecasting/)

- [Artificial Intelligence for Modeling and Understanding Extreme Weather and Climate Events | Nature Communications](https://www.nature.com/articles/s41467-025-56573-8)

[c0rpseductor]

yknow i was thinking about lore olympus again (UH OH!!) and a thought that struck me is that very few gods' domains in the comic are treated as ontological realities. hopefully that makes some sense, but i thought of it because like.

idk, let's take thanatos as a random example. thanatos is still the god of death (distinct from hades as thanatos is like, the actual avatar of death rather than the ruler of death, there are overlaps between the domains of gods in actual mythologies, etc etc), but he doesn't EMBODY death, he's just like....delivering death is kind of his day job. he has wings, but they're just there because he's a god.

hades i think is actually another example of this. he's decidedly cthonic - that feels like an ontological truth and a part of his being, because smythe wanted to contrast this with persephone - but he is not death. he just does death as a living. it's a day at the office. he embodies it more than thanatos, but not by a whole hell of a lot.

all of the gods still have their domains, but for most of them their domains feel like choices or occupations rather than divine domains as they were in the original stories. which makes sense as an adaptational choice given the initial genre of lore olympus is comedy-romance and then later on soap opera/drama. the supernatural stuff is not nearly so important until the third chunk of the comic.

i bring this up not because i think it's a poor writing choice (although i can't say i really stand by it) but because it stands in stark contrast to persephone's situation. being goddess of spring is very much an Ontological Truth for her. she sprouts flowers from her hair and body, things grow around her, plants thrive in her mere presence, so on and so forth. all of this is not only important because she's a goddess of spring but a Fertility Goddess, which in lore olympus is itself not a category designed to describe how people worship goddesses or to describe what sorts of patterns their stories follow but an ontological property of a goddess - a real, tangible thing that grants her special power but also imposes special danger on her, because that power is traditionally something that can only be used by an exploitative man.

the fact that smythe has invented for her narrative a special class of woman whose greatest power is Fertility, a power that is usually stolen by violence and used by men, and which is practically the sole divine domain that assumes any ontological truth in her narrative, says some...interesting things about how she perceives womanhood, i think.

[sombra-conlangs]

Conlang year 2025 · Day 5 - 9

Thank you all for your support on my previous post! y'all are very nice 🩷 This time I'll finish the rest of the worldbuilding prompts so we can move on to the conlang itself in the next post.

This is part of a series of posts where I'm following the prompts for Jessie Peterson's conlang year, to see the rest of the posts search the #Conlang year or #Conlang year 2025 tags on my blog.

All the info from these posts is compiled on my website: tekseni.bearblog.dev

Day 5: Describe (or design) your conworld terrain

The speakers of my language live in a cluster of floating islands that are not too far apart from each other, a lot of them are relatively small, perhaps big enough for some sort of structure to be built upon them, like a home, there's also a few even smaller ones scattered all over the place, and there's a bunch of bigger ones where communal areas are built (though I imagine the dream angels wouldn't necessarily build things on every single one of these islands).

The ground of these islands tends to be fairly flat, some of the bigger ones can have small hills, but never mountains.

The islands are not all necessarily at the same elevation relative to each other, not all of them would even be facing in the same direction and some might even move slowly as time goes on, but none of these are issues for the dream angels because they just float to move around anyway. The top of these islands tend to have grass and vegetation on them, while the bottoms are mostly dirt and rock, but gravity is not really a thing here so things can be built and grow on the underside of the islands as well.

There is some water in the form of ponds, lakes, rivers and waterfalls.

One last thing I'll add is that I like the idea that some of the islands are connected to each other, perhaps through rivers or waterfalls that flow between them, or roots of trees that come out from the bottom or the side of the island and connect with other plants. There's some waterfalls that just fall into the void, and if you follow those waterfalls as if they were paths perhaps you'll end up in a different part of this surrealistic realm.

Day 6: Describe your conworld’s climate and weather patterns

The climate is cold but not usually freezing, I chose for it to be like that because I find the cold to be a lot more comfortable than warm weather. I imagine the dream angels don't really need to live in a specific temperature range unlike humans so they're fine regardless of the climate, they'd definitely be able to sense the temperature to some extent, it just might not be as noteworthy for them.

I like rain a lot so I want to include it here, perhaps this is something that can get triggered by emotions, so for example if a group of dream angels is mourning then their emotions might be strong enough to create some rain clouds that start releasing a bit of light rain towards the nearest island, as if the dream angels are crying through the weather. Sadness is not necessarily the only emotion that would make rain clouds happen, I'll come up with the specifics later.

There's never any thunder (at least not coming from the sky or the clouds), and in general the weather of this place can't harm anyone, it might be able to make you uncomfortable but because this is kind of like a dream world even if something would hurt you in real life (like excessive cold) it wouldn't be able to damage you when you're here.

Maybe one day I will come up with more specific details of the seasons, but for now let's just say that they have a "warm" season when things are just a bit cool or unremarkable and then a cold season when it gets cold enough that instead of rain you get snow, and perhaps the flora and fauna have ways to adapt to this colder weather.

One last thing is that the sky looks like you're in outer space most of the time, where you can see lots of stars, perhaps at some times you might be able to observe certain phenomena similar to the northern lights or slight changes in color that make it look a bit closer to twilight instead of night time, and once again these phenomena might be triggered by emotions rather than the seasons.

Day 7: Describe (or design) native flora

Not going to lie, I'm not very familiar with how different types of flora and fauna work in real life, this is not meant to be realistic anyway so it's fine but I'm going off of vibes here more than actual knowledge lol

In general most if not all fauna have bio-luminescence because of how dark it tends to be, and none of the plants or fungi would be poisonous, or at least not to humans or dream angels, like how chili peppers are meant to be harmful but we as humans just find it to be a pleasant taste, maybe smaller creatures have to be a bit more selective with what they eat in these islands.

You'd see a lot of mushrooms and other fungi, most of which are edible (I know they're not plants but I wanted to mention them here). You'd see lots of colorful flowers of different types, berries, trees that look like weeping willows and pine trees, tall grass, lilypads in the water, seaweed and vines that creep up trees and rocks.

I like to think there's some plants with huge leaves that can be used for building things, unsure what type of plant they are, I just know I like the idea.

I imagine some plants are used for making dyes or for getting building materials and whatnot, but the dream angels try to live in harmony with nature as best they can, so if they cut down a plant they plant another one, and they don't live outside of nature, even around their houses they can have lots of tall grass, mushrooms and all sorts of things.

Day 8: Describe (or design) native fauna

Since the dream angels in this area are mostly based on aquatic creatures I think it makes sense for a lot of the native fauna to also be similar to fish, and while they may have some features that set them apart from real animals they are close enough where I will probably just describe them in terms of the fauna that exists in our world.

The animals are not hostile, they may not all be the friendliest but they tend to be pacifists and relatively sentient, not enough to be able to speak but enough to where dream angels can communicate with them a bit. This also means that all fauna in the islands is herbivoral (even if their real life counterparts aren't), instead of eating one another they forage for plants and they purposefully help the plants to spread their seeds to other islands.

I'd like to include some coral, perhaps these are the home of some other animals. I imagine a lot of small fish would be swimming around in the islands, including some mini squids and octopuses.

I don't like most insects but I will include a few, mostly the ones I think are cute or cool, like bees, butterflies and beetles. I like to imagine there's these super long eels that just swim around and you see their tails winding around the landscape, and whales may be heard in the distance every now and then, but they don't appear very often. I also think amphibians are awesome, so there's definitely frogs and axolotls in there somewhere, and you might see some more mammalian types of creatures occasionally, I think mostly stuff like otters and jerboa because I think they are adorable.

There are other types of dream angels that look very different from the ones that speak my language, but it would be very rare to come across one of them in the island and they are incredibly varied in the way they look, so I think for now I'll just focus on the dream angels that speak my language.

Day 9: Summarize your speakers and their world

I've already been compiling all of this stuff on my website, which I think counts as finishing this prompt maybe? I will update it with the new info soon but first I should rest, I'm pretty tired.

I think I should probably write down an abridged version of all of this information in the dictionary for this language as well. I usually make my conlang documentation in spreadsheets because I find it a bit easier to manage a dictionary that way, but for the sake of share-ability I think I will try to make a more normal dictionary that I can export as a pdf, so I guess before posting the next set of prompts I think I should get started on that document.

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The Impact Of Visual Communication In Public Health Campaigns: The Use of Infographics & Videos To Convey Health Messages

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Effective communication is vital in public health campaigns to educate and influence public behaviors. Visual communication, through infographics and videos, plays a significant role in conveying complex health messages in a way that is both engaging and accessible. This approach combines clarity, creativity, and emotional appeal to foster better understanding and action (StudySmarter, 2024).

In recent years, digital platforms have become integral to health communication, enabling the use of interactive and animated content. These innovations capture attention and actively involve audiences, encouraging behaviors like staying physically active or keeping up with vaccinations (StudySmarter, 2024). The shift toward digital visual communication has broadened its global impact, offering both opportunities and challenges related to accessibility, cultural appropriateness, and adapting to technological advancements.

Health Communication Through Data Visualisation 👁️

Advancements in technology have transformed data visualization tools, enabling real-time insights through dashboards and interactive platforms. These tools showcase current health data and forecast future trends by analyzing existing patterns. With the integration of artificial intelligence, dashboards are now more personalized, delivering tailored health recommendations based on user input and preferences (StudySmarter, 2024).

Examining different examples of visual health communication highlights the variety of strategies used to convey health messages effectively. These examples demonstrate how visual elements can inform and shape public health behaviors.

Infographics in Public Health 🌡️

Infographics are visual tools that present data and information in an easily digestible format. They combine text, visuals, and design to summarize and explain key messages (Maa Illustration, 2023).

Visual Storytelling

Visual storytelling is powerfully enhanced through medical illustration, which can effectively and engagingly convey complex health concepts, disease transmission patterns, and preventive measures. These illustrations help make the importance of health-related behaviors more understandable and memorable to the public.

Disease Prevention & Awareness Campaigns

Disease prevention and awareness campaigns, such as those promoting vaccination or healthy eating, are central to public health initiatives. Medical visuals can help make these concepts clearer and more convincing to a broader audience by breaking down the science behind them.

Digital & Interactive Tools

Digital and interactive tools, such as infographics, animations, and interactive modules, have expanded the reach and effectiveness of public health campaigns. These dynamic visuals help convey information in an engaging and memorable manner.

Image credit: Canva Pink and Blue Illustrated World Diabetes Day Infographic

Tools like Canva, Piktochart, and Adobe Illustrator offer intuitive interfaces and customizable templates for creating eye-catching infographics. These platforms provide a wide range of design elements, icons, and fonts, making it easy to craft impactful visuals that effectively communicate key messages (MeDesk, 2024).

Infographics are a creative and engaging way to present information in a visually appealing and concise format, and they have gained significant attention in both the commercial and healthcare sectors (AD McCrorie, C Donnelly, KJ McGlade, 2016).

Videos In Public Health 📹

Video campaigns are a compelling form of visual health communication, leveraging motion, sound, and storytelling to capture and hold attention (Maa Illustration, 2023). Effective campaigns typically include:

Storytelling

Emotional narratives that connect with audiences, making messages more memorable.

High-Quality Production

Professional visuals and audio that enhance credibility and ensure clarity.

Call to Action

Clear prompts encouraging viewers to take steps like changing behaviors or seeking further information.

For instance, short videos on COVID-19 symptoms and prevention shared on social media have proven effective in rapidly educating large audiences.

Youtube

YouTube is the second most popular search engine globally, with about one-third of all online activity dedicated to watching videos. Health communicators can leverage the World Health Organization’s (WHO) YouTube channel, which hosts hundreds of videos, to enhance knowledge and raise awareness about health issues (World Health Organization, 2024).

Video credit: Stanford Center for Health Education

Conclusion

Visual communication through infographics and videos enhances the impact of public health campaigns by making health messages more accessible, engaging, and memorable. By addressing diverse audience needs and preferences, these tools help bridge knowledge gaps and drive positive behavioral changes.

Thank you for reading this far! :)

References

StudySmarter. (2024). Visual Health Communication: Examples & Media

https://www.studysmarter.co.uk/explanations/media-studies/health-communication-in-media/visual-health-communication/

MeDesk. (2024). 7 Use Cases for Visual Communication in Healthcare

https://www.medesk.net/en/blog/visual-communication-in-healthcare/

AD McCrorie, C Donnelly, KJ McGlade. (2016, January 2). Infographics: Healthcare Communication for the Digital Age

https://pmc.ncbi.nlm.nih.gov/articles/PMC4920488/

World Health Organization. (2024). Tactics to apply to make your communications understandable

https://www.who.int/about/communications/understandable/visuals

Maa Illustration. (2023, February 11). Impact of Medical Illustration in Public Health Campaigns

https://www.maaillustrations.com/blogs/magazine/impact-of-medical-illustration-in-public-health-campaigns